Who we are Employment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. Since our inception in 2014, we've scaled to a $2 billion valuation and gained a presence in 6 countries globally - Australia, New Zealand, Singapore, Malaysia, the UK and Canada.

We now service over 400,000 businesses and more than 3 million employees. The EH Way At Employment Hero, we're proud of our unique DNA, which we call The EH Way. We are mission first.

Everything we do (from what we work on, to how we allocate capital and where we focus) is driven by our mission. We are remote first. We champion a remote environment with a preference for asynchronous communication and a high degree of autonomy.

We are AI First. We are committed to using AI to accelerate our mission; AI is not just a tool, it's a fundamental part of how we operate, innovate, and scale. We are apolitical.

We do not take a position on political or social topics, unless it relates to our mission. We live by our values. We role model our values 100% of the time.

We expect high performance. We set a high standard and we're not satisfied with being average. What we need Were looking for a Senior Data Analytics Engineer with hands-on experience in data science, marketing analytics, or a similar role, and who has a deep knowledge of the MarTech stack.

We are also looking for someone who thrives in a fast-paced environment, can work cross-functionally across teams, can accelerate the adoption of AI in marketing initiatives, by establishing the right data infrastructure foundations and embedding AI applications across our MarTech stack (e.g., Braze, Marketo).

Key responsibilities Build and manage data pipelines to integrate marketing and CRM data into a single source of truth. Resolve integration challenges across multiple marketing platforms, tools, and systems. Simplify complex, cross-channel reporting to support faster, smarter decision-making.

Break down MarTech data silos to uncover end-to-end customer and campaign insights. Design and optimise predictive lead scoring models using behavioural, demographic, and firmographic data. Analyse and improve MQL quality by creating data views that highlight fit, intent, and downstream performance.

Develop intent models based on user behaviour to power audience segmentation and personalised campaigns. Implement advanced attribution and media mix modelling to fine-tune ad spend and boost ROI. Build smart dashboards and reports that deliver clear, actionable insights to marketing and sales teams.

Partner with Marketing to define and track candidate quality metrics across all channels, supporting long-term engagement and re-engagement strategies. What were looking for Proficiency in SQL and relational databases. Experience with data pipeline development and ETL processes.

Familiarity with visualization tools (e.g., Tableau, Looker Studio).

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